Graphical Map Research Articles

A scalable simulator for cloud, fog and edge computing platforms with mobility support

In recent years, the devices that make up the Internet of Things (IoT) paradigm have been increasing in number and complexity as different layers of network computing, such as Cloud, Edge and Fog Computing, have emerged. Thanks to these latest paradigms and their different types of communications, it has been possible to reduce and distribute the computational load on the network. However, to build these infrastructures and reduce the cost, it is necessary to use a simulation platform to model these environments and analyze their behavior (power consumption, CPU usage, bandwidth, etc.) beforehand. An essential aspect of simulators is scalability, the ability to add new components and simulate large infrastructures without compromising the performance of the simulator. Many existing simulators, as will be discussed in this article, cannot scale adequately as new elements are added to the system. Furthermore, in these environments, it is useful to simulate mobile devices and to know the location of these devices for the development and analysis of new algorithms. To solve these problems, this article presents and describes the ENIGMA simulator. ENIGMA is a scalable simulator of Edge, Fog and Cloud computing infrastructures, which allows to efficiently simulate a large number of devices and elements and to analyze different characteristics (CPU usage, power consumption, network bandwidth, application execution time, etc.). Its objective is to analyze new infrastructures and algorithms. ENIGMA also includes support for including mobile devices and an API to integrate their visualization in graphical maps. The article presents an evaluation to compare the scalability of ENIGMA with other state-of-the-art simulators and different use cases that illustrate its operation.

Повесть В.П. Некрасова «В окопах Сталинграда» – реальность войны и художественный текст

Introduction. The article is devoted to the battle for the Height 102.0 (Mamayev Kurgan), which had a great strategic command in the battle of the Red Army for the city of Stalingrad. One of the outstanding monuments of national literature devoted to the Great Patriotic War is the story of Victor Platonovich Nekrasov “In the trenches of Stalingrad.” It marked the beginning of the genre of the so-called “lieutenants’ prose”, that is, the narrative of events not from a professional literary propagandist, but from a direct participant in hostilities. A significant part of the work takes place in the area of Mamayev Kurgan, where the author of the story actually took part in the battle. The lower chronological boundary of the period is due to the beginning of the battle for the Mamayev Kurgan in September 1942. The upper boundary is defined by the capture of the Red Army Height 102.0 as a key section of German positions near the factory district of Stalingrad. Methods and materials. The methodology of the research is based on the main methods of historical science (comparative, biographical, problem-chronological). Based on a comparative analysis carried out on the text of Viktor Platonovich Nekrasov’s story “In the trenches of Stalingrad” with the original records of military units, with authentic graphic materials, maps and diagrams, the factual basis of the work’s plot and a high degree of its documentary nature were revealed. The author of the article believes that the study of V.P. Nekrasov’s story as a work of fiction has so far been only an object of analysis for philologists and culturologists. This interdisciplinary historical study will help establish the real picture of the fighting for Height 102.0 over Stalingrad, and sources will confirm or deny the picture of the events described in the story. Analysis. The conclusions of this work are based on the analysis of military documents of domestic military archives and comparing them with the text of the story, which is considered not as a work of fiction, but as a testimony of a participant in the event. Results. Due to the conducted research, we have an opportunity to compare the evidence from the military biography of V.P. Nekrasov and his comrades-in-arms, actually confirmed by declassified archive documents, with the peculiarities of the author’s images of the literary characters in the cultural and historical context of the era.

Micro Fluidics for Food, Agriculture and Biosystems Industries

Microfluidics is the technological know-how and computing in small blocks or controlling Systems Technology fluids (10−nine to 10−18L) using channels measuring tens to hundreds of micrometers. Microfluidics in the early 1980s appeared and used in technology development. One of the fashionable, micro methods following capabilities: small volumes United Nations Food and Agriculture Organization CSA techniques include planting drought-tolerant seeds, using drip irrigation, and using shade trees in integrated agriculture. Integrated biological procedures their price-powerful conversion into excessive-price bio molecules is vital to attaining the technical, monetary and environmental feasibility of bio resource era development. New techniques for the manufacturing containing periodic habitats of bio molecules need food and pharmaceutical industries Agri-Food Supply Chain This research aims to explore block chain era with a focal point on meals and agriculture research. Therefore, a bibliometric approach changed into followed to become aware of key developments and topics in this domain by studying substantive articles, authors, countries and keywords. This study attempts to expand a graphical map of bibliographic facts in food and agriculture

USABILITY OF PROGRAM INTERFACES FOR TEACHING 3D GRAPHICS IN A SCHOOL COURSE OF INFORMATICS

The study of three-dimensional graphics is an important part of a school course of informatics. This is a consequence of the fact that in today's world it is impossible to imagine a sphere of human activity where 3D modeling and 3D printing technologies are not used. At the same time, issues related to the study of this field of information technology at school are unfortunately not sufficiently outlined. Students' perception of the complex interfaces of the corresponding graphic software is also a problematic point. At the same time, the degree of their impact on educational activity has not been studied at a sufficient level. Considering that the complexity of organizing the interaction between the user and the control elements is inherent in the vast majority of graphic 3D programs, the purpose of the exploratory research was to study this very issue only in the context of the educational learning process. When choosing software for testing, the following selection criteria were followed: the software must be distributed on the basis of the open GPL license, and online services must be able to be freely registered and used in work; it is necessary that graphic complexes of three-dimensional graphics satisfy sufficiently democratic system requirements of school computers; the presence of a large number of localizations is also important, and in terms of functionality, 3D programs should approach similar leading commercial software tools and corresponding online services. In the work, considerable attention was paid to the description of research planning. In particular, it was indicated how the sample of respondents was formed and the main approaches to testing program interfaces in the context of their use in the educational process were revealed. An online tool for testing - UsabilityHub.com - is described separately. The obtained data are described and supplemented by specialized graphic heat maps of clicks. As a result, the data is analyzed in detail, it is indicated that the obtained results of the exploration research are an important basis for conducting further scientific research related to this topic and will allow better investigation of problematic issues. The authors also formulate recommendations for the study of three-dimensional graphics editors in a school course of informatics and note methodological points that teachers should pay attention to when preparing for classes.

Spanish Journal of Finance and Accounting (SJFA): Mapping of Knowledge over the Last 25 Years

The Spanish Journal of Finance and Accounting (SJFA) is a leading international journal in the field of accounting and finance, which was founded in 1972 with the aim of serving as a platform for dissemination at the service of academics, researchers and accounting and business professionals. The aim of this research is to examine the development of the SJFA journal from its creation to the present day, with the purpose of identifying the journal’s trend through published articles, authors, the most productive institutions and countries, and research topics, as well as citation patterns (most cited papers and typology of citing articles). The methodology used is bibliometric analysis and the data on which the bibliometric indicators are applied are taken from the Scopus database. This study also develops a graphical mapping of the bibliometric material by using the visualisation of similarities software. These graphs represent keyword co-occurrence, citation and co-citation analysis, and Journal Co-citation Analysis. The results show a significant growth of the journal over time, both in terms of the number and diversity of documents published and citations received, which has contributed to the positive evolution in terms of its impact and visibility. It is noteworthy that the journal is becoming more geographically diverse. The main topics covered in the journal are accounting and auditing management, and performance management. Papers dealing with topics related to management accounting, auditing, and management control, together with earnings management, accounting history and accounting regulation, stand out in terms of number of papers. Both topics are mediated by the subject of corporate governance.

Global Trends and Future Research Directions for Temporomandibular Disorders and Stem Cells.

Temporomandibular disorder (TMD) is an umbrella term used to describe various conditions that affect temporomandibular joints, masticatory muscles, and associated structures. Although the most conservative and least invasive treatment is preferable, more invasive therapies should be employed to refractory patients. Tissue engineering has been presented as a promising therapy. Our study aimed to investigate trends and point out future research directions on TMD and stem cells. A comprehensive search was carried out in the Web of Science Core Collection (WoS-CC) in October 2022. The bibliometric parameters were analyzed through descriptive statistics and graphical mapping. Thus, 125 papers, published between 1992 and 2022 in 65 journals, were selected. The period with the highest number of publications and citations was between 2012 and 2022. China has produced the most publications on the subject. The most frequently used keywords were "cartilage", "temporomandibular joint", "mesenchymal stem cells", and "osteoarthritis". Moreover, the primary type of study was in vivo. It was noticed that using stem cells to improve temporomandibular joint repair and regeneration is a significant subject of investigation. Nonetheless, a greater understanding of the biological interaction and the benefits of using these cells in patients with TMD is required.

CauRuler: Causal irredundant association rule miner for complex patient trajectory modelling

Background and Objectives.Discovering causal associations between variables is one of the main goals of clinical trials, with the ultimate aim of identifying the causes of specific health status. Prior knowledge of causal paths could help ensure patients do not develop the resultant conditions. In recent years, thanks to the enormous amount of health data stored with the support of digital tools, attempts have been made to employ Machine Learning to infer causality. Those methodologies suffer from some deficiencies in controlling cofounders when analysing causality, as well as providing causal rules general enough to be useful in healthcare practice. Conversely, this work presents and evaluates CauRuler, a new approach to deal with causality from association rules. The proposed approach uses a pruning strategy to reduce the association rule set, which does not compromise the causality learning capability of the algorithm. This behaviour makes the algorithm suitable for exploiting large health databases with thousands of patients and medical instances. CauRuler can control a larger number of confounders than other proposals, bringing robustness to causal analysis and avoiding the identification of spurious associations. Additionally, the method generalizes causality using anti-monotone properties to obtain complex and general causal paths. The method can target correct causal associations in complex medical databases with retrospective data. Method:CauRuler extends association rule mining with an irredundancy property so that the set of rules learnt is reduced in size and generalized. General association rules, conformed by fewer items, enable controlling more confounding variables to verify, with more statistical evidence on available data, if they represent causal paths in patient disease trajectories. Results:CauRuler has been tested on a complex real medical database (3,5 M visits to the primary care services between 2019 and 2020, and controlling over 15.000 different variables including diagnoses and demographic and other clinical patient data). The reduction of the rule set achieved by the pruning strategy goes from 7.732 to 2.240 rules, from which 46 have been found to have causality relationships in the patient trajectories, and generalized to 14 rules tested as true causal relationships thanks to the confounding analysis. These rules have been validated by clinicians with the support of a graphical map. The obtained causal paths control in average of 906 confounder variables, retrieving robust results. Conclusions:Causal relationships enable predicting causal paths between health conditions according to patient trajectories. Knowing these causal paths is crucial for understanding and preventing the appearance or worsening of diseases in patients. CauRuler, with high demanding thresholds, has proven its efficiency and effectiveness in targeting previously known causal associations between diagnoses, reaching consensus in the medical community. Softening these thresholds should help target interesting general causal paths.

Environmental, Social And Governance (ESG): A Bibliometric Review Study

Objective: The aim of this study was to map and analyze the main basic and frontier theoretical currents about international research in Environmental, Social and Governance (ESG). Additionally, we also analyzed which authors, journals and countries are most active in international ESG research.
 Method: We performed a bibliometric analysis focused on co-citation and bibliographic coupling analysis, with exploratory factor analysis techniques and graphic mapping through clustering. Our sample included 405 articles published until December 2021 and indexed in the Web of Science database.
 Results: Through co-citation analysis, we identified 5 research streams, being a) Influence of Organizational Theories on ESG; b) Organizational competitiveness; c) Impact of ESG on financial performance; d) Corporate Social Responsibility; and e) Stakeholder Theory. Through the pairing analysis, we identified 6 theoretical frontier currents, namely: a) sustainable investments; b) Transparency and administrative council; c) Effects of ESG; d) Relationships between financial performance and corporate social performance; e) Relationship between shareholders and ESG; and f) Risks and ESG.
 Originality: As far as we know, this is the most complete bibliometric study on ESG research, covering both basic and frontier theoretical currents.
 Theoretical/methodological contributions: We identify in this work 5 theoretical currents that helped to found and develop ESG research as a scientific (historical) field and point out 6 emerging theoretical currents that help to understand where ESG research is advancing today (border).

A Bibliometric Overview of Prabandhan: Indian Journal of Management Between 2011 and 2021

This study used bibliometric analysis to examine Prabandhan : Indian Journal of Managements recent 10 - year publications. The study's goal was to present a comprehensive summary of the journal's major influences. This analysis covered the journal's publication and citation structure; the most cited articles; and top authors, institutions, and nations. Using VOSviewer and Gephi Software, we created a graphical mapping of bibliographic material. With this software, we performed keyword analysis and bibliographic coupling analysis. As a result of this analysis, nine major research themes emerged: (a) higher education and skills, (b) job satisfaction and employee performance, (c) stress management and women, (d) corporate social responsibility, (e) innovation and strategy, (f) emotional intelligence, (g) entrepreneurship, (h) green management, (i) technology and small & medium enterprises.

Zero-Waste Management and Sustainable Consumption: A Comprehensive Bibliometric Mapping Analysis

The growth of waste generation is a global problem. Developing effective waste management methods is challenging for companies and the government. This research aims to provide a global perspective regarding scientific research on zero-waste management and sustainable consumption by identifying years of evolution, the most relevant and influential keywords, articles, journals, universities, countries, and authors. This research examines 2534 publications from the Web of Science Core Collection from 2011 to 2021. Numerous bibliometric indices, including the number of publications, the h-index, and citation requirements, have been used as evaluating techniques. Additionally, a relational technique has been developed through graphical maps using the VOS viewer Software. Results show a growing trend in the number of zero-waste management’s publications and citations. Regarding the h-index, the five most relevant journals are the Journal of Cleaner Production, Resources Conservation and Recycling, Waste Management, Waste Management Research, and Sustainability. The most outstanding author is Tsang Dan from Zhejiang University, and the leading university is the Chinese Academy of Science, China. Furthermore, the principal regions and continents are China—Asia, USA—America, and Italy—Europe. The most important keywords are waste management, sustainability, circular economy, and sustainable development. This article is the first quantitative study focused on contributing a complete overview of the progress of zero-waste management and sustainable consumption, providing a collaborative network of researchers for future use in generating knowledge.

Spatial Distribution of Salmonella in Soil near Municipal Waste Landfill Site

Due to the heterogeneous origin of municipal waste, different substrates support the growth of many microorganisms, including those hazardous to humans. In consequence, landfills collecting these refuses are regarded as serious sources of infectious material contaminating the environment. In this study, we aimed to assess how waste may be related to the presence of Salmonella spp. in soil within a landfill and its surroundings. The numbers of these pathogens were estimated in soil samples collected at 17 different stands established in the municipal waste landfill of Barycz (near Kraków, Poland) and the surrounding area. The analysis showed that in all soil samples, Salmonella spp. did not exceed 270 cfu g−1 in dry soil (i.e., the active landfill sector). Salmonella spp. was found in 57% of the tested soil samples in spring, 88% in summer, 45% in autumn, and was not detected in winter. A spatial distribution visualized by graphical maps allowed determination of the influence of the active sector on the surrounding areas. The graphical maps showed the impact of seasons on the spread of Salmonella spp. in the soil near the landfill. Detection and estimation of Salmonella spp. distribution in soil within the landfill area distinctly confirms the hazardous impact of collected wastes on hygienic characteristics of the soil.

An Overview of Sustainable Entrepreneurship in Tourism, Destination, and Hospitality Research Based on the Web of Science

Sustainability, entrepreneurship and tourism, destination and hospitality research have attracted scholars’ attention for their relevance in bringing to fruition a future that links economic well-being with the environmental, cultural, and social sustainability of human beings. This article provides a bibliometric overview of the academic research where these topics intersect. To accomplish this, various bibliometric methods are implemented, which include a performance analysis and graphic mapping of the academic production in this specific topic. This research uses the Web of Science database to identify and classify the most preponderant investigations in the field and considers articles, authors, institutions, countries, and journals. To complete the performance analysis, a series of indicators, such as number of papers and number of citations, are used. Graphic visualization maps are produced using the co-citation and co-occurrence of keywords under the Visualization of Similarities—VOSviewer—software. The results show a growing concern for entrepreneurship in sustainable tourism development research, which is evidenced in the increasing number of studies during the last decade. Some influential research institutions and authors from countries including the USA, New Zealand, and Norway are found to be influential leaders in this topic. Additionally, the results show that journals from the area of hospitality, leisure, sport, and tourism are frontrunners in this subject.

A Decade of Literature on Climate in Phytopathological Research: Visualising and Bibliometrics Analysis

Climate change is a global concern which is predicted to dominate phytopathological research. Hence, we performed a bibliometric analysis of climate changes in relation to plant pathology research from 2012 to 2022, in order, to ascertain the publication trend in this study field. Consequently, Web of Science (WoS), a well-known database was chosen to obtain a total of 335 articles that matched the inclusion criteria. This research attempts to expand graphical mapping of the bibliographic information using VOSviewer software. The research conducted the performance and network mapping approaches: publication trends, subject area, most active journals and countries, citation metrics, highly cited papers, co-authorship, and co-occurrence of the keywords. Our analysis essentially concludes that the last decade of scientific papers shows a positive tendency of climatic influence on the plant pathology research field. Our work can be used by plant pathologists to consider the future direction of disease detection in light of global warming and soil status.

Принципы эволюционного моделирования в исследовании развития профессионального образования

Introduction. Modelling is an important step in the analysis of a complex system functioning. It allows to define how the elements of the system are joined together, how they function; and to plan the directions of their development in the future. Traditionally two types of modelling are used in pedagogical research, verbal and conceptual ones. The former is the verbal expression of the ideas; the latter is their graphical mapping. The present article is an attempt to support the principles of the evolutionary modelling in the research of the development of the system of professional education. Theoretical analysis. Interpretation of the terminology of the classical theory of evolution shows that there are analogues of the biological processes of heredity, selection, and variation in the system of professional education. Clarification of the strategies of evolutionary modelling allows applying its principles to the development of professional education. It is shown that there are possibilities to model variable development of professional education. It is pointed that any element of the system of professional education can become its growing point provided the favorable conditions are created. Some examples of the negative effects of ignoring the principles of evolutionary development are supplied. Conclusion. The conclusion is drawn that common conceptual basis and analogues of the reference notions used in the evolutionary modelling (gen, genotype, phonotype, suitability, mutation, memory, generation) lead to research professional education as a self-organizing system bearing adaptive mechanisms.

Mapping knowledge structure and themes trends in unilateral biportal endoscopic spine surgery: A bibliometric analysis.

BackgroundThe numerous benefits of unilateral biportal endoscopic (UBE) spine surgery have attracted the attention of many researchers, and a considerable number of relevant clinical studies have been published. However, global research trends in the field of UBE have received little attention. The purpose of this study was to apply bibliometric method to analyze the UBE-related publications to obtain an overview of the research trends in the field of UBE, as well as research hotspots and trends.MethodsWeb of Science database was searched for articles published until January 31, 2022. CiteSpace was used to analyze the data, which provided graphical knowledge maps. The following factors were applied to all literature: number of publications, distribution, h-index, institutions, journals, authors, and keywords.ResultsSeventy-three articles were identified. Since 2019, there has been a significant increase in the number of UBE-related publications. The country with the largest number of articles was South Korea (72.6%), followed by China (9.6%), Japan (4.1%), and Egypt (4.1%). South Korea had the highest h-index (16), followed by China (2), Japan (1), and Egypt (1). Leon Wiltse Memorial Hospital was the organization that produced the most papers (12 publications). Heo DH was the most productive author (16 papers) and was the most cited author (35 times). World Neurosurgery published the most papers on UBE (23.3%). The main research hotspots were spinal diseases, decompression, complications, learning curve, and interbody fusion. In addition, the recent concerns were “learning curve,” “interbody fusion,” “management,” and “dural tear.”ConclusionsThe quantity of publications on UBE research will increase, and South Korea being the major contributor and most prominent country in this field. The findings of our study will provide researchers with practical information on the field of UBE, and identification of mainstream research directions and recent hotspots.

Global research trends on maternal exposure to methylmercury and offspring health outcomes.

This study aimed to analyze the landscape of maternal methylmercury exposure and its offspring consequences based on knowledge mapping of the 100 most-cited papers about this theme. A search was performed using the Web of Science, without any restriction of language or publication year. Data bibliometrics, such as the number of citations, citation density, corresponding author’s country, year of publication, study design, and keywords, were extracted from each paper and analyzed. VOSviewer software was used to create graphical bibliometric maps. Of a total of 1,776 studies on this theme, the 100 most-cited papers rendered the number of citations ranged from 110 to 1,356 citations. The non-systematic reviews and cohort studies from Anglo-Saxon countries published in the first decade of the 2000s were the most frequent. Clarkson, Grandjean, and Myers were the authors with higher citation density. A total of 520 keywords represented the evolution of the theme, from classic episodes of MeHg intoxication, as well as main the health changes until the different forms of exposure and, in recent years, biomonitoring studies were highlighted. Our findings provide the global research trends highlighting the network of most influential authors and a better understanding of the evolution and future scenarios of this theme.

A GLOBAL RESEARCH TREND ON FRANCHISEE IN FRANCHISING LITERATURE REVIEW: A BIBLIOMETRIC ANALYSIS

Franchising has become a worldwide international business activity. Companies have moved from conventional business models to multinational ones since the beginning of the twenty-first century to leverage their profitable performance and improve their competitive edge. Franchising is the best method for businesses to broaden into new areas. Franchisees play an important role in supporting franchise companies in expanding into new markets by providing valuable resources. This paper aims to provide an overview of academic research on franchisees in the franchise literature. An extensive bibliometric analysis, including bibliometric performance analysis and a graphic mapping of the references in this area, was carried out to achieve this. This research investigates journals, documents, authors, organizations/ institutions, and countries. The study employs various bibliometric metrics, such as the number of publications and citations to conduct the franchisee research. In addition, the VOS viewer is used to map the bibliographic content graphically. The graphical analysis uses co-citation, bibliographic coupling, and keyword co-occurrence. The findings of both studies are consistent, indicating that the United States is the most influential country in franchisee research, as it is home to the most influential authors and institutions in the field. Furthermore, the field's global growth has been observed and is expected to continue. Our study is insightful and complimentary since it covers most of the important aspects of franchisee research.

Genomic image representation of human coronavirus sequences for COVID-19 detection

Coronavirus (CoV) disease 2019 (COVID-19) is a severe pandemic affecting millions worldwide. Due to its rapid evolution, researchers have been working on developing diagnostic approaches to suppress its spread. This study presents an effective automated approach based on genomic image processing (GIP) techniques to rapidly detect COVID-19, among other human CoV diseases, with high acceptable accuracy. The GIP technique was applied as follows: first, genomic graphical mapping techniques were used to convert the genome sequences into genomic grayscale images. The frequency chaos game representation (FCGR) and single gray-level representation (SGLR) techniques were used in this investigation. Then, several statistical features were obtained from the images to train and test many classifiers, including the k-nearest neighbors (KNN). This study aimed to determine the efficacy of the FCGR (with different orders) and SGLR images for accurately detecting COVID-19,using a dataset containing both partial and complete genome sequences. The results recommended the fourth-order FCGR image as a proper genomic image for extracting statistical features and achieving accurate classification. Furthermore, the results showed that KNN achieved an overall accuracy of 99.39% in detecting COVID-19, among other human CoV diseases, with 99.48% precision, 99.31% sensitivity, 99.47% specificity, 0.99 F1-score, and 0.99 Matthew's correlation coefficient.

Tooth auto-transplantation: A bibliometric analysis of the top 100 most-cited articles.

Tooth auto-transplantation has recently gained high clinical acceptance. The aim of this study was to identify the top 100 most-cited articles regarding tooth auto-transplantation, to analyse multiple citations and publication metrics and to outline the historical scientific advancements in this field. An advanced search of the Clarivate Analytics' Web of Science 'Core Collection' and Elsevier's Scopus databases utilising specific keywords related to tooth auto-transplantation between 1971 and 2021 was performed. The retrieved articles were ranked in descending order based on their Web of Science citation counts and further cross-matched with citation data from Scopus. The extracted data included citation counts, citation density, level of evidence, year of publication, contributing authors names and institutes, corresponding author's address, journal of publication, journal local citations index, cumulative growth index, keywords and keywords Plus. Data analysis was performed using descriptive statistics and graphical mapping. A total of 1290 articles were retrieved. The top 100 most-cited articles received a total of 4899 (Web of Science) and 5250 (Scopus) citations. Among these, cohort studies (29%) and case series (18%) were the most common study designs. Scandinavian countries produced major contributions in defining the top 100 most-cited articles and ranked within the top 5 countries based on the number of publications and citations per year. The greatest contributing authors were Schwartz O (n= 12), Andreasen JO (n= 8) and Paulsen HU (n= 6), and they were affiliated with Copenhagen, Denmark. The top contributing journals were American Journal of Orthodontics and Dentofacial Orthopedics, International Journal of Oral and Maxillofacial Surgery, Oral Surgery Oral Medicine Oral Pathology Oral Radiology, European Journal of Orthodontics, Dental Traumatology and Journal of Oral and Maxillofacial Surgery. This bibliometric analysis revealed a large geographical scientific interest and broad development in the field of tooth auto-transplantation spanning multiple dental disciplines.

Edge Robotics: Edge-Computing-Accelerated Multirobot Simultaneous Localization and Mapping

With the wide penetration of smart robots in multifarious fields, the simultaneous localization and mapping (SLAM) technique in robotics has attracted growing attention in the community. Yet collaborating SLAM over multiple robots still remains challenging due to performance contradiction between the intensive graphics computation of SLAM and the limited computing capability of robots. While traditional solutions resort to the powerful cloud servers acting as an external computation provider, we show by real-world measurements that the significant communication overhead in data offloading prevents its practicability to real deployment. To tackle these challenges, this article promotes the emerging edge-computing paradigm into multirobot SLAM and proposes RecSLAM, a multirobot laser SLAM system that focuses on accelerating the map construction process under the robot–edge–cloud architecture. In contrast to the conventional multirobot SLAM that generates graphic maps on robots and completely merges them on the cloud, RecSLAM develops a hierarchical map fusion technique that directs robots’ raw data to edge servers for real-time fusion and then sends to the cloud for global merging. To optimize the overall pipeline, an efficient multirobot SLAM collaborative processing framework is introduced to adaptively optimize robot-to-edge offloading tailored to heterogeneous edge resource conditions, meanwhile ensuring the workload balancing among the edge servers. Extensive evaluations show RecSLAM can achieve up to 39.31% processing latency reduction over the state of the art. Besides, a proof-of-concept prototype is developed and deployed in real scenes to demonstrate its effectiveness.